文章基本信息

标题：Nonlinear State and Parameter Estimation for Parabolic Trough Collector
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作者：Surender Kannaiyan ; Mani Bhushan ; Sharad Bhartiya 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：1
页码：437-443
DOI：10.1016/j.ifacol.2018.05.072
语种：English
出版社：Elsevier
摘要：AbstractWe propose and compare various estimation methods for estimating states and parameters for a Parabolic Trough Collector (PTC) which is a key component of a solar thermal power plant. In particular, we compare popular approaches namely Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), both of which implicitly assume Gaussian state densities, with a recently proposed approach named Unscented Gaussian Sum Filter (UGSF) which does not make the Gaussianity assumptions. These filters are compared for various scenarios involving estimation of states along with either spatially constant or spatially varying PTC efficiency. The results demonstrate superior performance of EKF and UKF over UGSF. Further, EKF is identified to have the lowest computational burden which is also acceptable for real-time computations. Thus, use of EKF for estimating states in real-time is proposed, which can then be used in advanced control and optimization strategies.
关键词：KeywordsParabolic Trough Collector(PTC)Extended Kalman Filter (EKF)Unscented Kalman Filter (UKF)Unscented Gaussian Sum Filter (UGSF)